KGE for calibrations

Parameters

Scatter plots

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## chr (4): run, param, input_data, year_missing
## dbl (1): value
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## ℹ Use `spec()` to retrieve the full column specification for this data.
## ℹ Specify the column types or set `show_col_types = FALSE` to quiet this message.
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Histograms

## `summarise()` has grouped output by 'param'. You can override using the
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## `stat_bin()` using `bins = 30`. Pick better value with `binwidth`.

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## `stat_bin()` using `bins = 30`. Pick better value with `binwidth`.

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## `stat_bin()` using `bins = 30`. Pick better value with `binwidth`.

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## `stat_bin()` using `bins = 30`. Pick better value with `binwidth`.

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## `stat_bin()` using `bins = 30`. Pick better value with `binwidth`.

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## `stat_bin()` using `bins = 30`. Pick better value with `binwidth`.

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## `stat_bin()` using `bins = 30`. Pick better value with `binwidth`.

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## `stat_bin()` using `bins = 30`. Pick better value with `binwidth`.

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## `stat_bin()` using `bins = 30`. Pick better value with `binwidth`.

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## `stat_bin()` using `bins = 30`. Pick better value with `binwidth`.

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## `stat_bin()` using `bins = 30`. Pick better value with `binwidth`.

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## `stat_bin()` using `bins = 30`. Pick better value with `binwidth`.

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## `stat_bin()` using `bins = 30`. Pick better value with `binwidth`.

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## `stat_bin()` using `bins = 30`. Pick better value with `binwidth`.

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## `stat_bin()` using `bins = 30`. Pick better value with `binwidth`.

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## `stat_bin()` using `bins = 30`. Pick better value with `binwidth`.

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## `stat_bin()` using `bins = 30`. Pick better value with `binwidth`.

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## `stat_bin()` using `bins = 30`. Pick better value with `binwidth`.

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## `stat_bin()` using `bins = 30`. Pick better value with `binwidth`.

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## `stat_bin()` using `bins = 30`. Pick better value with `binwidth`.

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## `stat_bin()` using `bins = 30`. Pick better value with `binwidth`.

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## `stat_bin()` using `bins = 30`. Pick better value with `binwidth`.

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## `stat_bin()` using `bins = 30`. Pick better value with `binwidth`.

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## `stat_bin()` using `bins = 30`. Pick better value with `binwidth`.

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## `stat_bin()` using `bins = 30`. Pick better value with `binwidth`.

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## `stat_bin()` using `bins = 30`. Pick better value with `binwidth`.

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## `stat_bin()` using `bins = 30`. Pick better value with `binwidth`.

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## `stat_bin()` using `bins = 30`. Pick better value with `binwidth`.

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## `stat_bin()` using `bins = 30`. Pick better value with `binwidth`.

Outlet results

Hydrograph

## Rows: 3561 Columns: 24
## ── Column specification ────────────────────────────────────────────────────────
## Delimiter: ","
## dbl  (23): grid_2011, grid_2012, grid_2013, grid_2014, grid_2015, grid_2016,...
## date  (1): date
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## ℹ Use `spec()` to retrieve the full column specification for this data.
## ℹ Specify the column types or set `show_col_types = FALSE` to quiet this message.

Annual hydrographs

KGE

Overall KGE

name value
statn2015 0.66
grid2015 0.78
statn2013 0.78
statn2014 0.79
statn2011 0.80
statn2019 0.80
statn2012 0.81
statn2016 0.81
statn2018 0.81
statn2020 0.81
statn2017 0.82
statnall 0.83
grid2013 0.84
grid2016 0.84
grid2018 0.85
grid2014 0.86
grid2017 0.87
grid2011 0.88
grid2012 0.88
grid2019 0.88
grid2020 0.88
gridall 0.88

KGE by year

model_run 2011 2012 2013 2014 2015 2016 2017 2018 2019 2020
grid2011 0.43 -0.62 0.72 0.61 0.76 0.73 0.28 0.73 0.63 0.68
grid2012 0.81 -1.07 0.56 0.47 0.77 0.58 0.45 0.63 0.83 0.54
grid2013 0.76 -1.23 0.30 0.67 0.83 0.70 0.25 0.73 0.89 0.56
grid2014 0.74 -0.30 0.65 0.43 0.75 0.67 0.46 0.81 0.81 0.70
grid2015 0.63 0.26 0.75 0.48 0.56 0.68 0.68 0.71 0.88 0.84
grid2016 0.60 -1.20 0.65 0.56 0.65 0.62 0.39 0.78 0.82 0.48
grid2017 0.60 -0.91 0.60 0.59 0.79 0.81 0.40 0.65 0.88 0.78
grid2018 0.69 -1.56 0.65 0.59 0.65 0.70 0.31 0.57 0.90 0.73
grid2019 0.76 -0.40 0.62 0.54 0.74 0.78 0.39 0.64 0.89 0.75
grid2020 0.49 -0.73 0.72 0.66 0.74 0.72 0.15 0.79 0.75 0.72
gridall 0.50 -0.75 0.77 0.63 0.76 0.76 0.20 0.79 0.73 0.78
statn2011 -0.04 -1.49 0.86 0.50 0.78 0.76 0.60 0.53 0.46 0.65
statn2012 0.06 -2.23 0.91 0.49 0.82 0.83 0.60 0.59 0.58 0.72
statn2013 0.35 -0.59 0.03 0.68 0.90 0.82 0.68 0.82 0.77 0.68
statn2014 0.06 -1.12 0.93 0.40 0.77 0.73 0.65 0.61 0.44 0.60
statn2015 0.65 -1.60 0.80 0.30 0.44 0.76 0.65 0.76 0.56 0.61
statn2016 0.09 -1.71 0.76 0.48 0.75 0.77 0.72 0.75 0.59 0.65
statn2017 0.06 -0.98 0.88 0.62 0.82 0.80 0.41 0.70 0.48 0.75
statn2018 0.11 -1.69 0.78 0.52 0.74 0.80 0.67 0.46 0.49 0.70
statn2019 0.08 -1.46 0.85 0.49 0.78 0.81 0.67 0.73 0.47 0.67
statn2020 0.00 -1.56 0.91 0.47 0.79 0.77 0.66 0.59 0.51 0.70
statnall 0.08 -0.95 0.82 0.59 0.81 0.79 0.55 0.75 0.54 0.75

Annual KGE plots

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Ensembles

Hydrograph

Annual hydrographs

KGE

KGE for ensembles (entire period)

grid_ensemble statn_ensemble all_ensemble grid_all statn_all
0.88 0.84 0.87 0.88 0.83

Annual KGEs for ensembles

model_run 2011 2012 2013 2014 2015 2016 2017 2018 2019 2020
grid_ensemble 0.69 -0.65 0.65 0.56 0.72 0.70 0.40 0.73 0.84 0.75
statn_ensemble 0.18 -1.35 0.85 0.50 0.77 0.82 0.68 0.73 0.62 0.71
all_ensemble 0.65 -0.91 0.79 0.53 0.76 0.79 0.56 0.79 0.82 0.77
grid_all 0.50 -0.75 0.77 0.63 0.76 0.76 0.20 0.79 0.73 0.78
statn_all 0.08 -0.95 0.82 0.59 0.81 0.79 0.55 0.75 0.54 0.75 
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Monthly KGEs for ensembles

month grid_ensemble statn_ensemble all_ensemble grid_all statn_all
4 0.79 0.58 0.71 0.75 0.63
5 0.76 0.77 0.78 0.78 0.77
6 0.81 0.35 0.59 0.84 0.28
7 0.41 0.03 0.30 0.32 0.27
8 -0.56 -0.75 -0.54 -0.78 0.02
9 -0.04 0.29 0.19 0.48 0.61

RMSE

Ensemble RMSE for entire period

grid_ensemble statn_ensemble all_ensemble grid_all statn_all
0.27 0.33 0.27 0.28 0.35

Annual RMSE for ensembles

model_run 2011 2012 2013 2014 2015 2016 2017 2018 2019 2020
grid_ensemble 0.13 0.19 0.41 0.27 0.48 0.21 0.32 0.09 0.09 0.14
statn_ensemble 0.37 0.25 0.22 0.32 0.64 0.26 0.35 0.15 0.23 0.20
all_ensemble 0.23 0.21 0.27 0.28 0.53 0.21 0.30 0.10 0.15 0.15
grid_all 0.18 0.20 0.36 0.28 0.49 0.20 0.42 0.07 0.11 0.12
statn_all 0.41 0.21 0.32 0.30 0.68 0.27 0.42 0.16 0.24 0.19 
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Monthly RMSEs for ensembles

month grid_ensemble statn_ensemble all_ensemble grid_all statn_all
1 NaN NaN NaN NaN NaN
2 NaN NaN NaN NaN NaN
3 NaN NaN NaN NaN NaN
4 0.24 0.29 0.24 0.27 0.32
5 0.46 0.60 0.48 0.49 0.66
6 0.18 0.34 0.24 0.20 0.34
7 0.17 0.24 0.19 0.19 0.20
8 0.07 0.08 0.07 0.08 0.06
9 0.30 0.14 0.20 0.25 0.21
10 NaN NaN NaN NaN NaN
11 NaN NaN NaN NaN NaN
12 NaN NaN NaN NaN NaN